First you need to decide on the range of random numbers. Then use
rand(1) to generate and floating random number between 0 and 1, then
map the generated number to the range you want, and then chop of the
fractional part.

for example, if you want a random interger between 0 and 100, then
something like could be a solution

>> round(rand(1)*100)

ans =

48

if you want random intergers between 0 and 1000, then

>> round(rand(1)*1000)

etc..

if you want a random number between values other than 0 and some
positive upper limit, then you need to use a slightly more advanced
maping than the above. But the idea is the same. You use the random
number generated by rand(1) and map that to whatever you want.

Hi,
You can use rand(uniform distribution) or randn(normal distribution) to
make a series. Do something like rand * 10 or some number and round
off. you can do a rounding off like if between 9 and 10 then 9 or
something like that. you can do the tweaking with some good round
operators.

Subhasri krishnan wrote:
> emanuele wrote:
>> Hi all
>> how can generate random integer numbers?
>> Thanks in advantage Emanuele
>
> Hi,
> You can use rand(uniform distribution) or randn(normal
> distribution) to make a series. Do something like rand
> * 10 or some number and round off. you can do a rounding
> off like if between 9 and 10 then 9 or something like
> that. you can do the tweaking with some good round
> operators.

It's probably not very efficient but to get a random number between 1
and n you could use

> "emanuele" <emanuelemignosa@yahoo.it> wrote in message
> news:ef1bf39.-1@webx.raydaftYaTP...
> > Hi all
> > how can generate random integer numbers?
> > Thanks in advantage Emanuele
> >
> First you need to decide on the range of random numbers. Then use
> rand(1) to generate and floating random number between 0 and 1, then
> map the generated number to the range you want, and then chop of the
> fractional part.
>
> for example, if you want a random interger between 0 and 100, then
> something like could be a solution
>
> >> round(rand(1)*100)
>
> ans =
>
> 48
>
> if you want random intergers between 0 and 1000, then
>
> >> round(rand(1)*1000)
>
> etc..
>
> if you want a random number between values other than 0 and some
> positive upper limit, then you need to use a slightly more advanced
> maping than the above. But the idea is the same. You use the random
> number generated by rand(1) and map that to whatever you want.
>
> Nasser
-----------------------
Actually, in round(rand(1)*100), you wouldn't get a uniform distribution
for all the integers from 0 to 100. The two end values, 0 and 100, would
each have half the probability of occurring that other numbers in this
range would have. You should use:

floor(101*rand) or
ceil(101*rand-1)

to get a uniform distribution. Each number would then have a probability
of 1/101 of being chosen. Or in general, to get uniformly distributed
integers in the range [m,n] (including the endpoints) use:

If the numbers need to be generated with replacement from the discrete
uniform distribution on integer values, use RANDI. If they need to be
generated without replacement from the discrete uniform distribution, use
RANDPERM. If they need to be generated with a nonuniform distribution,
things get more tricky.

On 3/19/2013 5:22 PM, Steven_Lord wrote:
> If the numbers need to be generated with replacement from the discrete
> uniform distribution on integer values, use RANDI. If they need to be
> generated without replacement from the discrete uniform distribution,
> use RANDPERM. If they need to be generated with a nonuniform
> distribution, things get more tricky.

For non-uniform generation (or uniform, for that matter) with or without
replacement, you can use datasample if you have access to the Statistics
Toolbox:

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